Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	29965
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.5 MiB
Average record size in memory	192.0 B

Variable types

Numeric	20
Categorical	4

Alerts

`Repay_Sept` is highly correlated with `Repay_Aug` and 2 other fields	High correlation
`Repay_Aug` is highly correlated with `Repay_Sept` and 7 other fields	High correlation
`Repay_July` is highly correlated with `Repay_Sept` and 9 other fields	High correlation
`Repay_June` is highly correlated with `Repay_Sept` and 10 other fields	High correlation
`Repay_May` is highly correlated with `Repay_Aug` and 8 other fields	High correlation
`Repay_Apr` is highly correlated with `Repay_Aug` and 8 other fields	High correlation
`Bill_Sept` is highly correlated with `Repay_Aug` and 8 other fields	High correlation
`Bill_Aug` is highly correlated with `Repay_Aug` and 10 other fields	High correlation
`Bill_July` is highly correlated with `Repay_Aug` and 11 other fields	High correlation
`Bill_June` is highly correlated with `Repay_July` and 13 other fields	High correlation
`Bill_May` is highly correlated with `Repay_July` and 13 other fields	High correlation
`Bill_Apr` is highly correlated with `Repay_June` and 11 other fields	High correlation
`Pay_Sept` is highly correlated with `Bill_Sept` and 5 other fields	High correlation
`Pay_Aug` is highly correlated with `Bill_July` and 5 other fields	High correlation
`Pay_July` is highly correlated with `Bill_June` and 7 other fields	High correlation
`Pay_June` is highly correlated with `Bill_June` and 6 other fields	High correlation
`Pay_May` is highly correlated with `Bill_June` and 5 other fields	High correlation
`Pay_Apr` is highly correlated with `Bill_May` and 4 other fields	High correlation
`Repay_Sept` is highly correlated with `Repay_Aug` and 3 other fields	High correlation
`Repay_Aug` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_July` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_June` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_May` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_Apr` is highly correlated with `Repay_Aug` and 3 other fields	High correlation
`Bill_Sept` is highly correlated with `Bill_Aug` and 4 other fields	High correlation
`Bill_Aug` is highly correlated with `Bill_Sept` and 4 other fields	High correlation
`Bill_July` is highly correlated with `Bill_Sept` and 4 other fields	High correlation
`Bill_June` is highly correlated with `Bill_Sept` and 4 other fields	High correlation
`Bill_May` is highly correlated with `Bill_Sept` and 4 other fields	High correlation
`Bill_Apr` is highly correlated with `Bill_Sept` and 4 other fields	High correlation
`Repay_Sept` is highly correlated with `Repay_Aug` and 1 other fields	High correlation
`Repay_Aug` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_July` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_June` is highly correlated with `Repay_Aug` and 3 other fields	High correlation
`Repay_May` is highly correlated with `Repay_Aug` and 4 other fields	High correlation
`Repay_Apr` is highly correlated with `Repay_Aug` and 5 other fields	High correlation
`Bill_Sept` is highly correlated with `Bill_Aug` and 4 other fields	High correlation
`Bill_Aug` is highly correlated with `Bill_Sept` and 5 other fields	High correlation
`Bill_July` is highly correlated with `Bill_Sept` and 5 other fields	High correlation
`Bill_June` is highly correlated with `Repay_May` and 5 other fields	High correlation
`Bill_May` is highly correlated with `Repay_Apr` and 6 other fields	High correlation
`Bill_Apr` is highly correlated with `Repay_Apr` and 6 other fields	High correlation
`Pay_Sept` is highly correlated with `Bill_Aug`	High correlation
`Pay_Aug` is highly correlated with `Bill_July`	High correlation
`Pay_June` is highly correlated with `Bill_May`	High correlation
`Pay_May` is highly correlated with `Bill_Apr`	High correlation
`LIMIT_BAL` is highly correlated with `Bill_Sept` and 5 other fields	High correlation
`MARRIAGE` is highly correlated with `AGE`	High correlation
`AGE` is highly correlated with `MARRIAGE`	High correlation
`Repay_Sept` is highly correlated with `Repay_Aug` and 5 other fields	High correlation
`Repay_Aug` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_July` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_June` is highly correlated with `Repay_Sept` and 4 other fields	High correlation
`Repay_May` is highly correlated with `Repay_Sept` and 5 other fields	High correlation
`Repay_Apr` is highly correlated with `Repay_Sept` and 5 other fields	High correlation
`Bill_Sept` is highly correlated with `LIMIT_BAL` and 6 other fields	High correlation
`Bill_Aug` is highly correlated with `LIMIT_BAL` and 6 other fields	High correlation
`Bill_July` is highly correlated with `Bill_Sept` and 6 other fields	High correlation
`Bill_June` is highly correlated with `LIMIT_BAL` and 6 other fields	High correlation
`Bill_May` is highly correlated with `LIMIT_BAL` and 8 other fields	High correlation
`Bill_Apr` is highly correlated with `LIMIT_BAL` and 6 other fields	High correlation
`Pay_Sept` is highly correlated with `Pay_Aug` and 2 other fields	High correlation
`Pay_Aug` is highly correlated with `Bill_July` and 3 other fields	High correlation
`Pay_July` is highly correlated with `LIMIT_BAL` and 8 other fields	High correlation
`Pay_June` is highly correlated with `Pay_Sept` and 1 other fields	High correlation
`Pay_May` is highly correlated with `Bill_July` and 1 other fields	High correlation
`Default` is highly correlated with `Repay_Sept`	High correlation
`Pay_Aug` is highly skewed (γ1 = 30.43861292)	Skewed
`Repay_Sept` has 14737 (49.2%) zeros	Zeros
`Repay_Aug` has 15730 (52.5%) zeros	Zeros
`Repay_July` has 15764 (52.6%) zeros	Zeros
`Repay_June` has 16455 (54.9%) zeros	Zeros
`Repay_May` has 16947 (56.6%) zeros	Zeros
`Repay_Apr` has 16286 (54.4%) zeros	Zeros
`Bill_Sept` has 1978 (6.6%) zeros	Zeros
`Bill_Aug` has 2476 (8.3%) zeros	Zeros
`Bill_July` has 2840 (9.5%) zeros	Zeros
`Bill_June` has 3165 (10.6%) zeros	Zeros
`Bill_May` has 3476 (11.6%) zeros	Zeros
`Bill_Apr` has 3990 (13.3%) zeros	Zeros
`Pay_Sept` has 5218 (17.4%) zeros	Zeros
`Pay_Aug` has 5365 (17.9%) zeros	Zeros
`Pay_July` has 5937 (19.8%) zeros	Zeros
`Pay_June` has 6377 (21.3%) zeros	Zeros
`Pay_May` has 6672 (22.3%) zeros	Zeros
`Pay_Apr` has 7142 (23.8%) zeros	Zeros

Reproduction

Analysis started	2021-10-10 03:16:45.943551
Analysis finished	2021-10-10 03:18:12.517223
Duration	1 minute and 26.57 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

LIMIT_BAL
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	81
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167442.005

Minimum	10000
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	10000
5-th percentile	20000
Q1	50000
median	140000
Q3	240000
95-th percentile	430000
Maximum	1000000
Range	990000
Interquartile range (IQR)	190000

Descriptive statistics

Standard deviation	129760.1352
Coefficient of variation (CV)	0.7749556942
Kurtosis	0.5375871217
Mean	167442.005
Median Absolute Deviation (MAD)	90000
Skewness	0.9934913272
Sum	5017399680
Variance	1.683769269 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50000	3363	11.2%
20000	1975	6.6%
30000	1610	5.4%
80000	1564	5.2%
200000	1524	5.1%
150000	1107	3.7%
100000	1047	3.5%
180000	993	3.3%
360000	874	2.9%
60000	825	2.8%
Other values (71)	15083	50.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10000	493	1.6%
16000	2	< 0.1%
20000	1975	6.6%
30000	1610	5.4%
40000	230	0.8%
50000	3363	11.2%
60000	825	2.8%
70000	731	2.4%
80000	1564	5.2%
90000	650	2.2%

Value	Count	Frequency (%)
1000000	1	< 0.1%
800000	2	< 0.1%
780000	2	< 0.1%
760000	1	< 0.1%
750000	4	< 0.1%
740000	2	< 0.1%
730000	2	< 0.1%
720000	3	< 0.1%
710000	6	< 0.1%
700000	8	< 0.1%

SEX
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.2 KiB

2	18091
1	11874

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29965
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	18091	60.4%
1	11874	39.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	18091	60.4%
1	11874	39.6%

Most occurring characters

Value	Count	Frequency (%)
2	18091	60.4%
1	11874	39.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29965	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	18091	60.4%
1	11874	39.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	29965	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	18091	60.4%
1	11874	39.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	18091	60.4%
1	11874	39.6%

EDUCATION
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.2 KiB

2	14019
1	10563
3	4915
4	468

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29965
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	14019	46.8%
1	10563	35.3%
3	4915	16.4%
4	468	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14019	46.8%
1	10563	35.3%
3	4915	16.4%
4	468	1.6%

Most occurring characters

Value	Count	Frequency (%)
2	14019	46.8%
1	10563	35.3%
3	4915	16.4%
4	468	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29965	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	14019	46.8%
1	10563	35.3%
3	4915	16.4%
4	468	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	29965	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	14019	46.8%
1	10563	35.3%
3	4915	16.4%
4	468	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	14019	46.8%
1	10563	35.3%
3	4915	16.4%
4	468	1.6%

MARRIAGE
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.2 KiB

2	15945
1	13643
3	377

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29965
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	15945	53.2%
1	13643	45.5%
3	377	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15945	53.2%
1	13643	45.5%
3	377	1.3%

Most occurring characters

Value	Count	Frequency (%)
2	15945	53.2%
1	13643	45.5%
3	377	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29965	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	15945	53.2%
1	13643	45.5%
3	377	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	29965	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	15945	53.2%
1	13643	45.5%
3	377	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	15945	53.2%
1	13643	45.5%
3	377	1.3%

AGE
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	56
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.4879693

Minimum	21
Maximum	79
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	21
5-th percentile	23
Q1	28
median	34
Q3	41
95-th percentile	53
Maximum	79
Range	58
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.219459233
Coefficient of variation (CV)	0.2597911184
Kurtosis	0.04398801494
Mean	35.4879693
Median Absolute Deviation (MAD)	6
Skewness	0.7320560019
Sum	1063397
Variance	84.99842855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29	1602	5.3%
27	1475	4.9%
28	1406	4.7%
30	1394	4.7%
26	1252	4.2%
31	1213	4.0%
25	1185	4.0%
34	1161	3.9%
32	1157	3.9%
33	1146	3.8%
Other values (46)	16974	56.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	67	0.2%
22	560	1.9%
23	930	3.1%
24	1126	3.8%
25	1185	4.0%
26	1252	4.2%
27	1475	4.9%
28	1406	4.7%
29	1602	5.3%
30	1394	4.7%

Value	Count	Frequency (%)
79	1	< 0.1%
75	3	< 0.1%
74	1	< 0.1%
73	4	< 0.1%
72	3	< 0.1%
71	3	< 0.1%
70	10	< 0.1%
69	15	0.1%
68	5	< 0.1%
67	16	0.1%

Repay_Sept
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.01675287836

Minimum	-2
Maximum	8
Zeros	14737
Zeros (%)	49.2%
Negative	8432
Negative (%)	28.1%
Memory size	234.2 KiB

Quantile statistics

Minimum	-2
5-th percentile	-2
Q1	-1
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.123492034
Coefficient of variation (CV)	-67.06262707
Kurtosis	2.730038381
Mean	-0.01675287836
Median Absolute Deviation (MAD)	1
Skewness	0.7346064765
Sum	-502
Variance	1.26223435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	14737	49.2%
-1	5682	19.0%
1	3667	12.2%
-2	2750	9.2%
2	2666	8.9%
3	322	1.1%
4	76	0.3%
5	26	0.1%
8	19	0.1%
6	11	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	2750	9.2%
-1	5682	19.0%
0	14737	49.2%
1	3667	12.2%
2	2666	8.9%
3	322	1.1%
4	76	0.3%
5	26	0.1%
6	11	< 0.1%
7	9	< 0.1%

Value	Count	Frequency (%)
8	19	0.1%
7	9	< 0.1%
6	11	< 0.1%
5	26	0.1%
4	76	0.3%
3	322	1.1%
2	2666	8.9%
1	3667	12.2%
0	14737	49.2%
-1	5682	19.0%

Repay_Aug
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.1318538295

Minimum	-2
Maximum	8
Zeros	15730
Zeros (%)	52.5%
Negative	9798
Negative (%)	32.7%
Memory size	234.2 KiB

Quantile statistics

Minimum	-2
5-th percentile	-2
Q1	-1
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.196321699
Coefficient of variation (CV)	-9.073090281
Kurtosis	1.577608705
Mean	-0.1318538295
Median Absolute Deviation (MAD)	0
Skewness	0.7920704147
Sum	-3951
Variance	1.431185607
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	15730	52.5%
-1	6046	20.2%
2	3926	13.1%
-2	3752	12.5%
3	326	1.1%
4	99	0.3%
1	28	0.1%
5	25	0.1%
7	20	0.1%
6	12	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	3752	12.5%
-1	6046	20.2%
0	15730	52.5%
1	28	0.1%
2	3926	13.1%
3	326	1.1%
4	99	0.3%
5	25	0.1%
6	12	< 0.1%
7	20	0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	20	0.1%
6	12	< 0.1%
5	25	0.1%
4	99	0.3%
3	326	1.1%
2	3926	13.1%
1	28	0.1%
0	15730	52.5%
-1	6046	20.2%

Repay_July
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.1643917904

Minimum	-2
Maximum	8
Zeros	15764
Zeros (%)	52.6%
Negative	9989
Negative (%)	33.3%
Memory size	234.2 KiB

Quantile statistics

Minimum	-2
5-th percentile	-2
Q1	-1
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.195877509
Coefficient of variation (CV)	-7.274557358
Kurtosis	2.091665951
Mean	-0.1643917904
Median Absolute Deviation (MAD)	0
Skewness	0.8414639808
Sum	-4926
Variance	1.430123016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	15764	52.6%
-1	5934	19.8%
-2	4055	13.5%
2	3819	12.7%
3	240	0.8%
4	75	0.3%
7	27	0.1%
6	23	0.1%
5	21	0.1%
1	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	4055	13.5%
-1	5934	19.8%
0	15764	52.6%
1	4	< 0.1%
2	3819	12.7%
3	240	0.8%
4	75	0.3%
5	21	0.1%
6	23	0.1%
7	27	0.1%

Value	Count	Frequency (%)
8	3	< 0.1%
7	27	0.1%
6	23	0.1%
5	21	0.1%
4	75	0.3%
3	240	0.8%
2	3819	12.7%
1	4	< 0.1%
0	15764	52.6%
-1	5934	19.8%

Repay_June
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.2189220758

Minimum	-2
Maximum	8
Zeros	16455
Zeros (%)	54.9%
Negative	10001
Negative (%)	33.4%
Memory size	234.2 KiB

Quantile statistics

Minimum	-2
5-th percentile	-2
Q1	-1
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.168175186
Coefficient of variation (CV)	-5.33603193
Kurtosis	3.508962108
Mean	-0.2189220758
Median Absolute Deviation (MAD)	0
Skewness	1.000798562
Sum	-6560
Variance	1.364633266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	16455	54.9%
-1	5683	19.0%
-2	4318	14.4%
2	3159	10.5%
3	180	0.6%
4	68	0.2%
7	58	0.2%
5	35	0.1%
6	5	< 0.1%
8	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	4318	14.4%
-1	5683	19.0%
0	16455	54.9%
1	2	< 0.1%
2	3159	10.5%
3	180	0.6%
4	68	0.2%
5	35	0.1%
6	5	< 0.1%
7	58	0.2%

Value	Count	Frequency (%)
8	2	< 0.1%
7	58	0.2%
6	5	< 0.1%
5	35	0.1%
4	68	0.2%
3	180	0.6%
2	3159	10.5%
1	2	< 0.1%
0	16455	54.9%
-1	5683	19.0%

Repay_May
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.2645085934

Minimum	-2
Maximum	8
Zeros	16947
Zeros (%)	56.6%
Negative	10051
Negative (%)	33.5%
Memory size	234.2 KiB

Quantile statistics

Minimum	-2
5-th percentile	-2
Q1	-1
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.132219856
Coefficient of variation (CV)	-4.280465302
Kurtosis	4.003562263
Mean	-0.2645085934
Median Absolute Deviation (MAD)	0
Skewness	1.009329021
Sum	-7926
Variance	1.281921802
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	16947	56.6%
-1	5535	18.5%
-2	4516	15.1%
2	2626	8.8%
3	178	0.6%
4	83	0.3%
7	58	0.2%
5	17	0.1%
6	4	< 0.1%
8	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	4516	15.1%
-1	5535	18.5%
0	16947	56.6%
2	2626	8.8%
3	178	0.6%
4	83	0.3%
5	17	0.1%
6	4	< 0.1%
7	58	0.2%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	58	0.2%
6	4	< 0.1%
5	17	0.1%
4	83	0.3%
3	178	0.6%
2	2626	8.8%
0	16947	56.6%
-1	5535	18.5%
-2	4516	15.1%

Repay_Apr
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.2894376773

Minimum	-2
Maximum	8
Zeros	16286
Zeros (%)	54.4%
Negative	10601
Negative (%)	35.4%
Memory size	234.2 KiB

Quantile statistics

Minimum	-2
5-th percentile	-2
Q1	-1
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1490901
Coefficient of variation (CV)	-3.970077809
Kurtosis	3.437256875
Mean	-0.2894376773
Median Absolute Deviation (MAD)	0
Skewness	0.9486089933
Sum	-8673
Variance	1.320408057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	16286	54.4%
-1	5736	19.1%
-2	4865	16.2%
2	2766	9.2%
3	184	0.6%
4	48	0.2%
7	46	0.2%
6	19	0.1%
5	13	< 0.1%
8	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	4865	16.2%
-1	5736	19.1%
0	16286	54.4%
2	2766	9.2%
3	184	0.6%
4	48	0.2%
5	13	< 0.1%
6	19	0.1%
7	46	0.2%
8	2	< 0.1%

Value	Count	Frequency (%)
8	2	< 0.1%
7	46	0.2%
6	19	0.1%
5	13	< 0.1%
4	48	0.2%
3	184	0.6%
2	2766	9.2%
0	16286	54.4%
-1	5736	19.1%
-2	4865	16.2%

Bill_Sept
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	22723
Distinct (%)	75.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51283.00978

Minimum	-165580
Maximum	964511
Zeros	1978
Zeros (%)	6.6%
Negative	590
Negative (%)	2.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	-165580
5-th percentile	0
Q1	3595
median	22438
Q3	67260
95-th percentile	201303.8
Maximum	964511
Range	1130091
Interquartile range (IQR)	63665

Descriptive statistics

Standard deviation	73658.1324
Coefficient of variation (CV)	1.436306736
Kurtosis	9.796846218
Mean	51283.00978
Median Absolute Deviation (MAD)	21842
Skewness	2.662513456
Sum	1536695388
Variance	5425520469
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1978	6.6%
390	243	0.8%
780	76	0.3%
326	72	0.2%
316	63	0.2%
2500	59	0.2%
396	48	0.2%
2400	39	0.1%
416	29	0.1%
1050	25	0.1%
Other values (22713)	27333	91.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-165580	1	< 0.1%
-154973	1	< 0.1%
-15308	1	< 0.1%
-14386	1	< 0.1%
-11545	1	< 0.1%
-10682	1	< 0.1%
-9802	1	< 0.1%
-9095	1	< 0.1%
-8187	1	< 0.1%
-7438	1	< 0.1%

Value	Count	Frequency (%)
964511	1	< 0.1%
746814	1	< 0.1%
653062	1	< 0.1%
630458	1	< 0.1%
626648	1	< 0.1%
621749	1	< 0.1%
613860	1	< 0.1%
610723	1	< 0.1%
608594	1	< 0.1%
604019	1	< 0.1%

Bill_Aug
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	22346
Distinct (%)	74.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49236.36629

Minimum	-69777
Maximum	983931
Zeros	2476
Zeros (%)	8.3%
Negative	669
Negative (%)	2.2%
Memory size	234.2 KiB

Quantile statistics

Minimum	-69777
5-th percentile	0
Q1	3010
median	21295
Q3	64109
95-th percentile	194889.6
Maximum	983931
Range	1053708
Interquartile range (IQR)	61099

Descriptive statistics

Standard deviation	71195.56739
Coefficient of variation (CV)	1.445995567
Kurtosis	10.29321199
Mean	49236.36629
Median Absolute Deviation (MAD)	20905
Skewness	2.70386174
Sum	1475367716
Variance	5068808816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2476	8.3%
390	230	0.8%
326	75	0.3%
780	75	0.3%
316	72	0.2%
2500	51	0.2%
396	50	0.2%
2400	42	0.1%
-200	29	0.1%
416	28	0.1%
Other values (22336)	26837	89.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-69777	1	< 0.1%
-67526	1	< 0.1%
-33350	1	< 0.1%
-30000	1	< 0.1%
-26214	1	< 0.1%
-24704	1	< 0.1%
-24702	1	< 0.1%
-22960	1	< 0.1%
-18618	1	< 0.1%
-18088	1	< 0.1%

Value	Count	Frequency (%)
983931	1	< 0.1%
743970	1	< 0.1%
671563	1	< 0.1%
646770	1	< 0.1%
624475	1	< 0.1%
605943	1	< 0.1%
597793	1	< 0.1%
586825	1	< 0.1%
581775	1	< 0.1%
577681	1	< 0.1%

Bill_July
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	22026
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47067.91607

Minimum	-157264
Maximum	1664089
Zeros	2840
Zeros (%)	9.5%
Negative	655
Negative (%)	2.2%
Memory size	234.2 KiB

Quantile statistics

Minimum	-157264
5-th percentile	0
Q1	2711
median	20135
Q3	60201
95-th percentile	187901
Maximum	1664089
Range	1821353
Interquartile range (IQR)	57490

Descriptive statistics

Standard deviation	69371.35232
Coefficient of variation (CV)	1.473856464
Kurtosis	19.77100256
Mean	47067.91607
Median Absolute Deviation (MAD)	19745
Skewness	3.086493832
Sum	1410390105
Variance	4812384523
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2840	9.5%
390	274	0.9%
780	74	0.2%
326	63	0.2%
316	62	0.2%
396	47	0.2%
2500	40	0.1%
2400	39	0.1%
416	29	0.1%
200	27	0.1%
Other values (22016)	26470	88.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-157264	1	< 0.1%
-61506	1	< 0.1%
-46127	1	< 0.1%
-34041	1	< 0.1%
-25443	1	< 0.1%
-24702	1	< 0.1%
-20320	1	< 0.1%
-17706	1	< 0.1%
-15910	1	< 0.1%
-15641	1	< 0.1%

Value	Count	Frequency (%)
1664089	1	< 0.1%
855086	1	< 0.1%
693131	1	< 0.1%
689643	1	< 0.1%
689627	1	< 0.1%
632041	1	< 0.1%
597415	1	< 0.1%
578971	1	< 0.1%
577957	1	< 0.1%
577015	1	< 0.1%

Bill_June
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	21548
Distinct (%)	71.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43313.32988

Minimum	-170000
Maximum	891586
Zeros	3165
Zeros (%)	10.6%
Negative	675
Negative (%)	2.3%
Memory size	234.2 KiB

Quantile statistics

Minimum	-170000
5-th percentile	0
Q1	2360
median	19081
Q3	54601
95-th percentile	174469.8
Maximum	891586
Range	1061586
Interquartile range (IQR)	52241

Descriptive statistics

Standard deviation	64353.51437
Coefficient of variation (CV)	1.485766958
Kurtosis	11.29858229
Mean	43313.32988
Median Absolute Deviation (MAD)	18681
Skewness	2.820544832
Sum	1297883930
Variance	4141374812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3165	10.6%
390	245	0.8%
780	101	0.3%
316	68	0.2%
326	62	0.2%
396	43	0.1%
150	39	0.1%
2400	39	0.1%
2500	34	0.1%
1000	33	0.1%
Other values (21538)	26136	87.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-170000	1	< 0.1%
-81334	1	< 0.1%
-65167	1	< 0.1%
-50616	1	< 0.1%
-46627	1	< 0.1%
-34503	1	< 0.1%
-27490	1	< 0.1%
-24303	1	< 0.1%
-22108	1	< 0.1%
-20320	1	< 0.1%

Value	Count	Frequency (%)
891586	1	< 0.1%
706864	1	< 0.1%
628699	1	< 0.1%
616836	1	< 0.1%
572805	1	< 0.1%
569034	1	< 0.1%
565669	1	< 0.1%
563543	1	< 0.1%
548020	1	< 0.1%
542653	1	< 0.1%

Bill_May
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	21010
Distinct (%)	70.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40358.33439

Minimum	-81334
Maximum	927171
Zeros	3476
Zeros (%)	11.6%
Negative	655
Negative (%)	2.2%
Memory size	234.2 KiB

Quantile statistics

Minimum	-81334
5-th percentile	0
Q1	1787
median	18130
Q3	50247
95-th percentile	165805.6
Maximum	927171
Range	1008505
Interquartile range (IQR)	48460

Descriptive statistics

Standard deviation	60817.13062
Coefficient of variation (CV)	1.506928657
Kurtosis	12.29453891
Mean	40358.33439
Median Absolute Deviation (MAD)	17714
Skewness	2.874925049
Sum	1209337490
Variance	3698723377
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3476	11.6%
390	234	0.8%
780	94	0.3%
316	79	0.3%
326	62	0.2%
150	58	0.2%
396	46	0.2%
2400	39	0.1%
2500	37	0.1%
416	36	0.1%
Other values (21000)	25804	86.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-81334	1	< 0.1%
-61372	1	< 0.1%
-53007	1	< 0.1%
-46627	1	< 0.1%
-37594	1	< 0.1%
-36156	1	< 0.1%
-30481	1	< 0.1%
-28335	1	< 0.1%
-23003	1	< 0.1%
-20753	1	< 0.1%

Value	Count	Frequency (%)
927171	1	< 0.1%
823540	1	< 0.1%
587067	1	< 0.1%
551702	1	< 0.1%
547880	1	< 0.1%
530672	1	< 0.1%
524315	1	< 0.1%
516139	1	< 0.1%
514114	1	< 0.1%
508213	1	< 0.1%

Bill_Apr
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	20604
Distinct (%)	68.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38917.01228

Minimum	-339603
Maximum	961664
Zeros	3990
Zeros (%)	13.3%
Negative	688
Negative (%)	2.3%
Memory size	234.2 KiB

Quantile statistics

Minimum	-339603
5-th percentile	0
Q1	1262
median	17124
Q3	49252
95-th percentile	161932
Maximum	961664
Range	1301267
Interquartile range (IQR)	47990

Descriptive statistics

Standard deviation	59574.14774
Coefficient of variation (CV)	1.530799623
Kurtosis	12.25912611
Mean	38917.01228
Median Absolute Deviation (MAD)	16808
Skewness	2.845137169
Sum	1166148273
Variance	3549079079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3990	13.3%
390	206	0.7%
780	86	0.3%
150	78	0.3%
316	77	0.3%
326	56	0.2%
396	44	0.1%
416	36	0.1%
-18	33	0.1%
2400	32	0.1%
Other values (20594)	25327	84.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-339603	1	< 0.1%
-209051	1	< 0.1%
-150953	1	< 0.1%
-94625	1	< 0.1%
-73895	1	< 0.1%
-57060	1	< 0.1%
-51443	1	< 0.1%
-51183	1	< 0.1%
-46627	1	< 0.1%
-45734	1	< 0.1%

Value	Count	Frequency (%)
961664	1	< 0.1%
699944	1	< 0.1%
568638	1	< 0.1%
527711	1	< 0.1%
527566	1	< 0.1%
514975	1	< 0.1%
513798	1	< 0.1%
511905	1	< 0.1%
501370	1	< 0.1%
499100	1	< 0.1%

Pay_Sept
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7943
Distinct (%)	26.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5670.099316

Minimum	0
Maximum	873552
Zeros	5218
Zeros (%)	17.4%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1000
median	2102
Q3	5008
95-th percentile	18447.2
Maximum	873552
Range	873552
Interquartile range (IQR)	4008

Descriptive statistics

Standard deviation	16571.84947
Coefficient of variation (CV)	2.92267358
Kurtosis	414.8548633
Mean	5670.099316
Median Absolute Deviation (MAD)	1929
Skewness	14.66159454
Sum	169904526
Variance	274626194.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5218	17.4%
2000	1363	4.5%
3000	891	3.0%
5000	698	2.3%
1500	507	1.7%
4000	426	1.4%
10000	401	1.3%
1000	365	1.2%
2500	298	1.0%
6000	294	1.0%
Other values (7933)	19504	65.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5218	17.4%
1	9	< 0.1%
2	14	< 0.1%
3	15	0.1%
4	18	0.1%
5	12	< 0.1%
6	15	0.1%
7	9	< 0.1%
8	8	< 0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
873552	1	< 0.1%
505000	1	< 0.1%
493358	1	< 0.1%
423903	1	< 0.1%
405016	1	< 0.1%
368199	1	< 0.1%
323014	1	< 0.1%
304815	1	< 0.1%
302000	1	< 0.1%
300039	1	< 0.1%

Pay_Aug
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	7899
Distinct (%)	26.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5927.98318

Minimum	0
Maximum	1684259
Zeros	5365
Zeros (%)	17.9%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	850
median	2010
Q3	5000
95-th percentile	19030.8
Maximum	1684259
Range	1684259
Interquartile range (IQR)	4150

Descriptive statistics

Standard deviation	23053.45664
Coefficient of variation (CV)	3.888920724
Kurtosis	1639.924451
Mean	5927.98318
Median Absolute Deviation (MAD)	1990
Skewness	30.43861292
Sum	177632016
Variance	531461863.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5365	17.9%
2000	1290	4.3%
3000	857	2.9%
5000	717	2.4%
1000	594	2.0%
1500	521	1.7%
4000	410	1.4%
10000	318	1.1%
6000	283	0.9%
2500	251	0.8%
Other values (7889)	19359	64.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5365	17.9%
1	15	0.1%
2	20	0.1%
3	18	0.1%
4	11	< 0.1%
5	25	0.1%
6	8	< 0.1%
7	12	< 0.1%
8	9	< 0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
1684259	1	< 0.1%
1227082	1	< 0.1%
1215471	1	< 0.1%
1024516	1	< 0.1%
580464	1	< 0.1%
415552	1	< 0.1%
401003	1	< 0.1%
388126	1	< 0.1%
385228	1	< 0.1%
384986	1	< 0.1%

Pay_July
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7518
Distinct (%)	25.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5231.688837

Minimum	0
Maximum	896040
Zeros	5937
Zeros (%)	19.8%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	390
median	1804
Q3	4512
95-th percentile	17602.6
Maximum	896040
Range	896040
Interquartile range (IQR)	4122

Descriptive statistics

Standard deviation	17616.36112
Coefficient of variation (CV)	3.367241759
Kurtosis	563.7392771
Mean	5231.688837
Median Absolute Deviation (MAD)	1796
Skewness	17.2081766
Sum	156767556
Variance	310336179.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5937	19.8%
2000	1285	4.3%
1000	1103	3.7%
3000	870	2.9%
5000	721	2.4%
1500	490	1.6%
4000	381	1.3%
10000	312	1.0%
1200	243	0.8%
6000	241	0.8%
Other values (7508)	18382	61.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5937	19.8%
1	13	< 0.1%
2	19	0.1%
3	14	< 0.1%
4	15	0.1%
5	18	0.1%
6	14	< 0.1%
7	18	0.1%
8	10	< 0.1%
9	12	< 0.1%

Value	Count	Frequency (%)
896040	1	< 0.1%
889043	1	< 0.1%
508229	1	< 0.1%
417588	1	< 0.1%
400972	1	< 0.1%
397092	1	< 0.1%
380478	1	< 0.1%
371718	1	< 0.1%
349395	1	< 0.1%
344261	1	< 0.1%

Pay_June
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6937
Distinct (%)	23.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4831.617454

Minimum	0
Maximum	621000
Zeros	6377
Zeros (%)	21.3%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	300
median	1500
Q3	4016
95-th percentile	16037
Maximum	621000
Range	621000
Interquartile range (IQR)	3716

Descriptive statistics

Standard deviation	15674.46454
Coefficient of variation (CV)	3.244144365
Kurtosis	277.0486932
Mean	4831.617454
Median Absolute Deviation (MAD)	1500
Skewness	12.89850649
Sum	144779417
Variance	245688838.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6377	21.3%
1000	1394	4.7%
2000	1214	4.1%
3000	887	3.0%
5000	810	2.7%
1500	441	1.5%
4000	402	1.3%
10000	341	1.1%
2500	259	0.9%
500	258	0.9%
Other values (6927)	17582	58.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6377	21.3%
1	22	0.1%
2	22	0.1%
3	13	< 0.1%
4	20	0.1%
5	12	< 0.1%
6	16	0.1%
7	11	< 0.1%
8	7	< 0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
621000	1	< 0.1%
528897	1	< 0.1%
497000	1	< 0.1%
432130	1	< 0.1%
400046	1	< 0.1%
331788	1	< 0.1%
330982	1	< 0.1%
320008	1	< 0.1%
313094	1	< 0.1%
292962	1	< 0.1%

Pay_May
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6897
Distinct (%)	23.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4804.897047

Minimum	0
Maximum	426529
Zeros	6672
Zeros (%)	22.3%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	261
median	1500
Q3	4042
95-th percentile	16000
Maximum	426529
Range	426529
Interquartile range (IQR)	3781

Descriptive statistics

Standard deviation	15286.3723
Coefficient of variation (CV)	3.181415158
Kurtosis	179.8752095
Mean	4804.897047
Median Absolute Deviation (MAD)	1500
Skewness	11.12174174
Sum	143978740
Variance	233673178
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6672	22.3%
1000	1340	4.5%
2000	1323	4.4%
3000	947	3.2%
5000	814	2.7%
1500	426	1.4%
4000	401	1.3%
10000	343	1.1%
500	250	0.8%
6000	247	0.8%
Other values (6887)	17202	57.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6672	22.3%
1	21	0.1%
2	13	< 0.1%
3	13	< 0.1%
4	12	< 0.1%
5	9	< 0.1%
6	7	< 0.1%
7	9	< 0.1%
8	6	< 0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
426529	1	< 0.1%
417990	1	< 0.1%
388071	1	< 0.1%
379267	1	< 0.1%
332000	1	< 0.1%
331788	1	< 0.1%
330982	1	< 0.1%
326889	1	< 0.1%
317077	1	< 0.1%
310135	1	< 0.1%

Pay_Apr
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6939
Distinct (%)	23.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5221.498014

Minimum	0
Maximum	528666
Zeros	7142
Zeros (%)	23.8%
Negative	0
Negative (%)	0.0%
Memory size	234.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	131
median	1500
Q3	4000
95-th percentile	17384.4
Maximum	528666
Range	528666
Interquartile range (IQR)	3869

Descriptive statistics

Standard deviation	17786.97686
Coefficient of variation (CV)	3.406489252
Kurtosis	166.9817897
Mean	5221.498014
Median Absolute Deviation (MAD)	1500
Skewness	10.63509397
Sum	156462188
Variance	316376546
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7142	23.8%
1000	1299	4.3%
2000	1295	4.3%
3000	914	3.1%
5000	808	2.7%
1500	439	1.5%
4000	411	1.4%
10000	356	1.2%
500	247	0.8%
6000	220	0.7%
Other values (6929)	16834	56.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7142	23.8%
1	20	0.1%
2	9	< 0.1%
3	14	< 0.1%
4	12	< 0.1%
5	7	< 0.1%
6	6	< 0.1%
7	5	< 0.1%
8	6	< 0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
528666	1	< 0.1%
527143	1	< 0.1%
443001	1	< 0.1%
422000	1	< 0.1%
403500	1	< 0.1%
377000	1	< 0.1%
372495	1	< 0.1%
351282	1	< 0.1%
345293	1	< 0.1%
308000	1	< 0.1%

Default
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.2 KiB

0	23335
1	6630

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	29965
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	23335	77.9%
1	6630	22.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	23335	77.9%
1	6630	22.1%

Most occurring characters

Value	Count	Frequency (%)
0	23335	77.9%
1	6630	22.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29965	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	23335	77.9%
1	6630	22.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	29965	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	23335	77.9%
1	6630	22.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	23335	77.9%
1	6630	22.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	LIMIT_BAL	SEX	EDUCATION	MARRIAGE	AGE	Repay_Sept	Repay_Aug	Repay_July	Repay_June	Repay_May	Repay_Apr	Bill_Sept	Bill_Aug	Bill_July	Bill_June	Bill_May	Bill_Apr	Pay_Sept	Pay_Aug	Pay_July	Pay_June	Pay_May	Pay_Apr	Default
0	20000	2	2	1	24	2	2	-1	-1	-2	-2	3913	3102	689	0	0	0	0	689	0	0	0	0	1
1	120000	2	2	2	26	-1	2	0	0	0	2	2682	1725	2682	3272	3455	3261	0	1000	1000	1000	0	2000	1
2	90000	2	2	2	34	0	0	0	0	0	0	29239	14027	13559	14331	14948	15549	1518	1500	1000	1000	1000	5000	0
3	50000	2	2	1	37	0	0	0	0	0	0	46990	48233	49291	28314	28959	29547	2000	2019	1200	1100	1069	1000	0
4	50000	1	2	1	57	-1	0	-1	0	0	0	8617	5670	35835	20940	19146	19131	2000	36681	10000	9000	689	679	0
5	50000	1	1	2	37	0	0	0	0	0	0	64400	57069	57608	19394	19619	20024	2500	1815	657	1000	1000	800	0
6	500000	1	1	2	29	0	0	0	0	0	0	367965	412023	445007	542653	483003	473944	55000	40000	38000	20239	13750	13770	0
7	100000	2	2	2	23	0	-1	-1	0	0	-1	11876	380	601	221	-159	567	380	601	0	581	1687	1542	0
8	140000	2	3	1	28	0	0	2	0	0	0	11285	14096	12108	12211	11793	3719	3329	0	432	1000	1000	1000	0
9	20000	1	3	2	35	-2	-2	-2	-2	-1	-1	0	0	0	0	13007	13912	0	0	0	13007	1122	0	0

Last rows

	LIMIT_BAL	SEX	EDUCATION	MARRIAGE	AGE	Repay_Sept	Repay_Aug	Repay_July	Repay_June	Repay_May	Repay_Apr	Bill_Sept	Bill_Aug	Bill_July	Bill_June	Bill_May	Bill_Apr	Pay_Sept	Pay_Aug	Pay_July	Pay_June	Pay_May	Pay_Apr	Default
29955	140000	1	2	1	41	0	0	0	0	0	0	138325	137142	139110	138262	49675	46121	6000	7000	4228	1505	2000	2000	0
29956	210000	1	2	1	34	3	2	2	2	2	2	2500	2500	2500	2500	2500	2500	0	0	0	0	0	0	1
29957	10000	1	3	1	43	0	0	0	-2	-2	-2	8802	10400	0	0	0	0	2000	0	0	0	0	0	0
29958	100000	1	1	2	38	0	-1	-1	0	0	0	3042	1427	102996	70626	69473	55004	2000	111784	4000	3000	2000	2000	0
29959	80000	1	2	2	34	2	2	2	2	2	2	72557	77708	79384	77519	82607	81158	7000	3500	0	7000	0	4000	1
29960	220000	1	3	1	39	0	0	0	0	0	0	188948	192815	208365	88004	31237	15980	8500	20000	5003	3047	5000	1000	0
29961	150000	1	3	2	43	-1	-1	-1	-1	0	0	1683	1828	3502	8979	5190	0	1837	3526	8998	129	0	0	0
29962	30000	1	2	2	37	4	3	2	-1	0	0	3565	3356	2758	20878	20582	19357	0	0	22000	4200	2000	3100	1
29963	80000	1	3	1	41	1	-1	0	0	0	-1	-1645	78379	76304	52774	11855	48944	85900	3409	1178	1926	52964	1804	1
29964	50000	1	2	1	46	0	0	0	0	0	0	47929	48905	49764	36535	32428	15313	2078	1800	1430	1000	1000	1000	1

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows